
Epicor Kinetic is a cloud-first, AI-powered ERP platform for manufacturing environments that require a connected system for transactional, operational, and reporting workflows. The platform supports finance, supply chain, production, inventory, quality, service, analytics, project management, governance and compliance, and global business management. Functional coverage includes planning and scheduling, materials management, shop floor coordination, product management, CRM, field service, electronic reporting, and enterprise content management. Kinetic provides browser-based access, role-based workflows, integration and extensibility tools, IIoT-related capabilities, and deployment options for cloud, on-premises, or hybrid architectures. It can integrate with listed third-party systems for payroll, tax, labeling, procurement, warehouse processes, data capture, and quality workflows, including ADP Workforce Now, Avalara, BarTender, Sage, SourceDay, and Sovos. Epicor Prism adds AI-supported automation and decision support for selected workflows. Kinetic also supports operations across the Americas, EMEA, and APAC and is available in multiple languages, which can matter for distributed manufacturing organizations with regional or multinational requirements.
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DbVisualizer is a universal database client for anyone who works with data, from indie developers and startups to professional teams managing complex database environments, including developers, DBAs, analysts, and data engineers working across relational and NoSQL databases.
Key features:
- SQL editor with intelligent autocomplete, visual query builders, variables, and execution tools
- AI Assistant for answering questions, explaining errors, and analyzing code
- Git integration for managing SQL scripts and team collaboration
- Customizable layouts, key bindings, and UI themes
- Favorites for frequently used scripts and database objects
- Configurable security settings for organizational requirements
Connects via JDBC to MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, BigQuery, and more. Runs on Windows, macOS, and Linux.
Nearly 7 million downloads, with Pro users in 150 countries, scaling from solo projects to enterprise database management.
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TradeMagellan
TradeMagellan helps businesses find potential suppliers/buyers, analyze competitors, and build healthy, resilient supply chains.
It provides visual, easy-to-understand data insights based on real import-export records between companies.
You can use it to:
1. Find new buyers/suppliers: Search by keywords, HS codes, or company names to discover a list of potential partners.
2. Track competitors: Monitor their export/import activities .
3. Before and after trade shows: Verify potential customers.
4. Check suppliers on Alibaba: Find if it is real supplier, by checking their trade records.
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Domo
Domo has become a part of Progress Software, integrating its AI and data platform into Progress' suite of offerings. This cloud-native AI data readiness platform not only enhances but also expands Progress' existing data solutions, fostering significant synergies that facilitate the development of innovative, secure, and scalable AI data readiness solutions on a global scale. These combined strengths will assist clients in transforming fragmented enterprise data and insights into governed, AI-ready intelligence, thus elevating the security, governance, and cost-effectiveness of AI-driven projects.
Positioned as the agentic platform for the intelligent enterprise, Domo empowers organizations to connect, govern, activate, and disseminate both data and AI effectively. Collaborating with cloud data platforms such as Snowflake, BigQuery, and Databricks, Domo enables the conversion of governed data into various AI agents, applications, workflows, dashboards, and analytics. Additionally, its robust data foundation, activation, and distribution layers empower teams to create and implement intelligence precisely where their work occurs, all while ensuring governance, security, and access controls are firmly in place across both data and AI initiatives. This comprehensive approach not only streamlines operations but also enhances the overall effectiveness of data-driven decision-making within organizations.
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